TAG ARCHIVE

doctor

1 MARIA OS blog articles tagged doctor, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

ArchitectureFebruary 15, 202642 min read

Doctor Architecture: Anomaly Detection as Enterprise Metacognition in MARIA OS

Dual-model anomaly detection, threshold engineering, gate integration, and real-time stability monitoring for autonomous agent systems

The Doctor system in MARIA OS implements organizational metacognition through dual-model anomaly detection, combining Isolation Forest for structural outlier detection and an Autoencoder for continuous deviation measurement. We detail the combined score A_combined = alpha * s(x) + (1 - alpha) * sigma(epsilon(x)), threshold design (soft throttle at 0.85, hard freeze at 0.92), and Gate Engine integration for dynamic governance control. We also define a stability guard that monitors exact loop gain g_t = (1 - D_t) lambda_max(A_t) together with the conservative buffer delta_buffer,t = 1 - D_t - lambda_max(A_t) in real time. Operational results show F1 = 0.94, mean detection latency of 2.3 decision cycles, and 99.7% prevention of cascading failures.

doctoranomaly-detectionisolation-forestautoencodermetacognitionsafetygate-engineMARIA-OSstability-guardthreshold-engineering